The Prospective Association of Patient Hospitalization with Spouse Depressive Symptoms and Self-Reported Heath

Abstract

After hospital discharge, patients experience a period of generalized risk for adverse mental and physical health outcomes (post-hospital syndrome [PHS]). Hospital stressors can explain these effects in patients (e.g., sleep disruption, deconditioning). Patients’ partners also experience adverse outcomes following patient hospitalization, but mechanisms of these effects are unknown. The purpose of this study was to test whether greater times and nights of patient hospitalization (proxies for partner exposure to hospital stressors) are prospectively associated with greater increases in partner depression and in partner self-reported poor health. Participants were 7,490 married couples (11,208 individuals) enrolled in the Health and Retirement Study. Outcomes were prospective changes in depressive symptoms and self-reported poor health, and primary predictors were spouse hospitalization over the past two years (yes/no), spouse hospitalized ≥ two times (yes/no), and spouse spent ≥ eight nights in-hospital (yes/no). Covariates included age, gender, race, ethnicity, income, own hospitalization experiences during the past 12 months, and one’s own and spouse comorbidities. Having a spouse who experienced two or more hospitalizations was associated with an increase in one’s own depression over time, as was having a spouse who spent eight or more nights in-hospital. Spouse hospitalization was not associated with prospective changes in self-reported health. Results suggest that PHS mechanisms may account for adverse post-hospitalization outcomes in patients’ partners.

Keywords:

• couples
• distress
• hospitalization
• marriage
• post-hospital syndrome
• self-reported health

Acknowledgments

The HRS is conducted by the University of Michigan. Dr. Cornelius receives support from NIH/NCATS (KL2 TR001874).

Additional information

Funding

The HRS is funded by the Division of Behavioral and Social Research of the National Institute on Aging (U01 AG009740) and the Social Security Administration.